Job description

With a career at The Home Depot, you can be yourself and also be part of something bigger. The Home Depot CANNOT offer virtual employment of this position in the following states: Alabama, Arkansas, Connecticut, Colorado, Delaware, Florida, Iowa, Indiana, Louisiana, Maryland, Missouri, Mississippi, North Carolina, Oklahoma, Pennsylvania, South Carolina, Tennessee, Virginia Position Purpose: BlackLocus is the center of excellence for c ompetitive i ntelligence within The Home Depot, a $1 6 0 billion-dollar company and the top home - improvement retailer. Key accountabilities of BlackLocus : C ollect competitive intelligence at scale Match Home Depot products to competitor products and identify product relationships at scale A utomatically pric e over 3 million online-only products Leverage GenAI to surface key insights related to competitive intelligence, assortment, and pricing This specific position may focus on any or all of BlackLocus ’ key accou ntabilities , and the mix may vary over time. Regardless of area of focus, this person will directly influence competitive intelligence, pricing, and assortment decisions for a Fortune 25 company. Key Responsibilities: 25% Design and develop algorithms and models to use against large datasets to create business insights. 25% Provide direction on prioritization of work, ensure quality of work outputs, and develop the competencies of direct reports. 20% Establishing scalable, efficient processes for large scale data analyses, model development and model implementation 20% Solve problems creatively with strategic insights. Leverage data to present a compelling business case to optimize price points. 10% Remain knowledgeable on advancements in data science and machine learning. Identify opportunities to apply learnings. Direct Manager/Direct Reports: Position reports to Director Engineering BL Lab Number of direct reports 1 Travel Requirements: Typically requires overnight travel less than 10% of the time. Physical Requirements: Most of the time is spent sitting in a comfortable position and there is frequent opportunity to move about. On rare occasions there may be a need to move or lift light articles. Working Conditions: Located in a comfortable indoor area. Any unpleasant conditions would be infrequent and not objectionable. Minimum Qualifications: Must be eighteen years of age or older. Must be legally permitted to work in the United States. Preferred Qualifications: PhD or Master ’ s degree in a quantitative field ( Statistics, Operations Research, Economics, Computer Science, etc.) Extensive experience with Python and SQL Outstanding skills in d ata cleaning, data analysis, predictive analytics, causal inference , and machine learning E xperience designing, testing, deploying, and scaling advanced AI systems: Developing generative AI and agent-based solutions Leveraging cloud AI platforms, embedding techniques, and multimodal models Applying prompt optimization and statistical analysis to drive system performance Strong software engineering skills, including development of scalable, maintainable, production-grade systems Exceptional written and verbal communication skills, with the ability to translate complex technical concepts into easily interpretable material for business stakeholders Demonstrated ability to build strong cross-functional partnerships and collaborate effectively across technical and business teams Minimum Education: The knowledge, skills and abilities typically acquired through the completion of a bachelor s degree program or equivalent degree in a field of study related to the job. Preferred Education: No additional education Minimum Years of Work Experience: 7 Preferred Years of Work Experience: No additional years of experience Minimum Leadership Experience: None Preferred Leadership Experience: None Certifications: None Competencies: Ability to build scalable systems that analyze huge data sets and make actionable recommendations Strong communication and data presentation skills Ability to quickly adapt to new technologies, tools and techniques Flexible and responsive; able to perform in a fast paced, dynamic, decision making environment and meet aggressive timelines Benefits offered include health care benefits, 401K, ESPP, paid time off, and success sharing bonus. For a full list of the various benefits The Home Depot offers, visit careers.homedepot.com . For California, Colorado, Connecticut, Rhode Island, Nevada, New York City, Ithaca (NY), Westchester County (NY), and Washington residents: The pay range for this position is between $90,000.00 - $190,000.00

Requirements

Must-haves

With a career at The Home Depot, you can be yourself and also be part of something bigger.
The Home Depot CANNOT offer virtual employment of this position in the following states:
Alabama, Arkansas, Connecticut, Colorado, Delaware, Florida, Iowa, Indiana, Louisiana, Maryland, Missouri, Mississippi, North Carolina, Oklahoma, Pennsylvania, South Carolina, Tennessee, Virginia
C ollect competitive intelligence at scale
Match Home Depot products to competitor products and identify product relationships at scale
A utomatically pric e over 3 million online-only products
Leverage GenAI to surface key insights related to competitive intelligence, assortment, and pricing
25% Design and develop algorithms and models to use against large datasets to create business insights.
25% Provide direction on prioritization of work, ensure quality of work outputs, and develop the competencies of direct reports.
20% Establishing scalable, efficient processes for large scale data analyses, model development and model implementation
20% Solve problems creatively with strategic insights. Leverage data to present a compelling business case to optimize price points.
10% Remain knowledgeable on advancements in data science and machine learning. Identify opportunities to apply learnings.
Position reports to Director Engineering BL Lab
Number of direct reports 1

Nice-to-haves

PhD or Master ’ s degree in a quantitative field ( Statistics, Operations Research, Economics, Computer Science, etc.)
Extensive experience with Python and SQL
Outstanding skills in d ata cleaning, data analysis, predictive analytics, causal inference , and machine learning
E xperience designing, testing, deploying, and scaling advanced AI systems:
Developing generative AI and agent-based solutions
Leveraging cloud AI platforms, embedding techniques, and multimodal models
Applying prompt optimization and statistical analysis to drive system performance
Strong software engineering skills, including development of scalable, maintainable, production-grade systems
Exceptional written and verbal communication skills, with the ability to translate complex technical concepts into easily interpretable material for business stakeholders
Demonstrated ability to build strong cross-functional partnerships and collaborate effectively across technical and business teams

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

machine learningpythonsqlai

Platform: workday
Effort: long

Benefits

Benefits detected in the listing.

Vision

401k

Paid Time Off